Run
594043

Run 594043

Task 9960 (Supervised Classification) wall-robot-navigation Uploaded 16-06-2016 by Joaquin Vanschoren
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Flow

weka.FilteredClassifier_MultiSearch_SMO_RBFKernel(1)Weka implementation of FilteredClassifier
weka.RBFKernel(4)_G0.01
weka.RBFKernel(4)_C250007
weka.FilteredClassifier_MultiSearch_SMO_RBFKernel(1)_Fweka.filters.MultiFilter -F "weka.filters.unsupervised.attribute.ReplaceMissingNumericValuesAndIndicate " -F "weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant -A first-last -N ? -R 0 -F yyyy-MM-dd\'T\'HH:mm:ss" -F "weka.filters.unsupervised.attribute.RemoveUseless -M 99.0"
weka.FilteredClassifier_MultiSearch_SMO_RBFKernel(1)_Wweka.classifiers.meta.MultiSearch
weka.MultiSearch_SMO_RBFKernel(2)_EACC
weka.MultiSearch_SMO_RBFKernel(2)_class-label1
weka.MultiSearch_SMO_RBFKernel(2)_search[weka.core.setupgenerator.MathParameter -property kernel.gamma -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I), weka.core.setupgenerator.MathParameter -property c -min -12.0 -max 12.0 -step 1.0 -base 2.0 -expression pow(BASE,I)]
weka.MultiSearch_SMO_RBFKernel(2)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 200 -num-slots 1 -S 1 -num-slots 1
weka.MultiSearch_SMO_RBFKernel(2)_log-file/home/rijnjnvan/apps/weka-3-7-13
weka.MultiSearch_SMO_RBFKernel(2)_S1
weka.MultiSearch_SMO_RBFKernel(2)_Wweka.classifiers.functions.SMO
weka.SMO_RBFKernel(7)_C1.0
weka.SMO_RBFKernel(7)_N0
weka.SMO_RBFKernel(7)_L0.001
weka.SMO_RBFKernel(7)_P1.0E-12
weka.SMO_RBFKernel(7)_V-1
weka.SMO_RBFKernel(7)_W1
weka.SMO_RBFKernel(7)_Kweka.classifiers.functions.supportVector.RBFKernel

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

22 Evaluation measures

Area under ROC curve
0.9623
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9323
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8976
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2148.5404
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2562
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3312
Cross-validation details (10-fold Crossvalidation)
Number of instances
5456
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9324
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9324
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7151
Cross-validation details (10-fold Crossvalidation)
Recall
0.9324
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7735
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4069
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3212
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7892
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
944.6862
UserCPU time millis
51240
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
2570
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
48670
Cross-validation details (10-fold Crossvalidation)